{"id":"W1580664886","doi":"10.1016/j.jprot.2015.05.018","title":"Chromatographic behavior of peptides containing oxidized methionine residues in proteomic LC–MS experiments: Complex tale of a simple modification","year":2015,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Research Manitoba; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Genome Canada","keywords":"Chemistry; Methionine; Peptide; Methionine sulfoxide; Acetonitrile; Sulfoxide; Residue (chemistry); Protein secondary structure; Amino acid; Amphiphile; Chromatography; Combinatorial chemistry; Biochemistry; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069788,0.0001515245,0.0005142908,0.0003100591,0.00003268736,0.00001774338,0.0003438435,0.0001261976,0.0002259199],"category_scores_gemma":[0.0001587892,0.000141255,0.0001486464,0.0003456123,0.0001116179,0.0001571633,0.00005826142,0.0002772621,6.271915e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001464376,"about_ca_system_score_gemma":0.0001496542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001596223,"about_ca_topic_score_gemma":0.00001171268,"domain_scores_codex":[0.9981706,0.00004971143,0.00111439,0.0001502429,0.0003433058,0.0001717982],"domain_scores_gemma":[0.9976549,0.00004023741,0.001502436,0.0003132758,0.0003926834,0.00009648546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002185347,0.0004028375,0.01558229,0.00009032562,0.00003198311,0.000003052313,0.0003411683,0.00002582136,0.9818693,0.001266193,0.00008484949,0.00008367585],"study_design_scores_gemma":[0.001598818,0.0002786753,0.003341923,0.0001508901,0.00004300451,0.00003667036,0.0007294889,0.0002473055,0.9904661,0.002821891,0.0001571896,0.0001280926],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963715,0.000122733,0.002005472,0.0001163439,0.00001085935,0.0005069738,0.00002345361,0.00002181043,0.000820835],"genre_scores_gemma":[0.893734,0.00004423705,0.105933,0.000006063042,0.0000525571,0.0001737528,0.00001464362,0.00002139681,0.0000203024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1039275,"threshold_uncertainty_score":0.5760213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06854632956075436,"score_gpt":0.3456560830482324,"score_spread":0.2771097534874781,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}